
Spot cross-channel trends, hidden wins, and under performers in seconds, not hours.
Datorama customers are switching to NinjaCat to elevate dashboards, eliminate report limits, reduce manual work, and unlock AI-powered insights. With Generative Data Apps and built-in AI Agents, NinjaCat empowers teams to create interactive dashboards, explore data on demand, and automate reporting and campaign optimization in real time.
Interactive Data Apps, Not Static Dashboards
Build real-time interactive analytics apps. No BI tools or dev team required.
Unified Data with AI-Powered Transformation
Clean, transform, and prep your marketing data. Enjoy advanced transformations in natural language. Fast and code free.
Secure and Scalable Access
Control permissions for dashboards, reports, and data apps. No public links or seat limits.
All Your Marketing Data Connected
Access hundreds of integrations across paid media, organic, ecommerce, and CRM. Everything stays in sync.
Spot cross-channel trends, hidden wins, and under performers in seconds, not hours.
Give internal teams the tools to explore layered, interactive dashboards and answer complex questions, fast.
Build predictive apps to forecast future performance and detect anomalies before they become issues.
Modern marketing teams need more than static dashboards. Uncover why they're switching to NinjaCat and gaining faster insights, customizable live dashboards, AI powered tools, and flexible reporting designed for today’s enterprise demands.
Tara Foulkrod, Data Architect, Vladimir Jones
With Generative Data Apps, AI-driven transformations, and scalable reporting, NinjaCat empowers agencies to move beyond static data views—into real-time, interactive analytics that drive smarter strategy and faster growth.
Ingest and normalize data from the most common marketing platforms, including paid search, paid social, programmatic, analytics, and CRMs.
Build interactive analytics apps directly from your data pipelines. Explore, visualize, and automate insights on demand with AI-assisted code generation and no-code deployment—ready for real-time decision-making and client delivery.
Blend, cleanse, and normalize cross-channel data with auto-mapping, deduplication, and intelligent taxonomy alignment with our AI Agents.
NinjaCat is an AI‑powered marketing data, analytics, and applications platform that unifies your data, automates reporting, and powers interactive decisioning—without heavy BI tooling. Compared with Datorama’s dashboard‑centric approach, NinjaCat emphasizes a single Marketing Data Cloud,Generative Data Apps, and AI Agents, so teams can explore, diagnose, and act in real time.
Yes. NinjaCat replaces Datorama dashboards and scheduled reports with interactive, real‑time analytics apps and enterprise reporting. Teams can publish client‑safe experiences, share them with role‑based permissions, and automate recurring deliverables without manual exports.
Leaders cite the desire for interactive analytics beyond static dashboards, AI‑assisted transformation and automation, predictable pricing, and cloud‑neutral flexibility. NinjaCat avoids seat caps and public links, reduces manual work with AI Agents, and lets marketing own their analytics stack without vendor lock‑ins.
NinjaCat helps you make money by revealing optimization opportunities in real time and accelerating decisions with AI‑generated insights. It helps you save money through predictable pricing, elimination of manual reporting, and automation of tasks like anomaly detection and data transformation. It helps you mitigate risk with governed, permissions‑based access, auditability, and the ability to move beyond unsecured public links.
Generative Data Apps are interactive analytics experiences that read from your governed data and let users drill, filter, and explore “live” while AI assists with queries and summaries. They go beyond static dashboard views by supporting on‑demand analysis, automated narratives, and embedded actions—shrinking the time from question to decision.
AI Agents perform always‑on jobs like anomaly detection, copy/creative QA, pacing and spend monitoring, taxonomy and transformation assistance, and insight summarization. They reduce analyst toil, catch issues earlier, and draft recommended actions so marketers can approve and execute faster.
NinjaCat offers transparent, predictable pricing that includes users, sources, and reports without nickel‑and‑diming add‑ons. Instead of paying more for seats, API access, or workspaces, teams get flat, scalable access aligned to data volumes and outcomes.
You keep control. NinjaCat integrates with modern data platforms and clouds and delivers governed tables to your BI or downstream tools. You can run in a NinjaCat‑managed Snowflake environment and still push data to external warehouses and apps.
No. NinjaCat supports hundreds of marketing‑first integrations across paid media, web analytics, ecommerce, and CRM—with custom and AI‑assisted connectors for edge cases. You retain breadth and granularity while gaining faster setup and governance.
Yes. NinjaCat supports encryption in transit and at rest, role‑based access control, MFA, logging, and governed sharing. Experiences are permissioned; you don’t need public links to scale access across teams and clients.
Most teams begin shipping governed, visualization‑ready data and publishing interactive apps shortly after connecting sources. Templates and AI‑assisted transformations accelerate the cut‑over while maintaining data quality and naming conventions.
Will Data Cloud replace our existing warehouse or BI?
Customers move to NinjaCat to avoid upsell‑heavy models tied to seats and workspaces, eliminate brittle manual workflows, and consolidate tooling. Predictable pricing plus automation helps teams reallocate budget from platform overhead to programs that drive growth.
Yes. You can ingest Salesforce CRM and other data sources alongside your ad, web, and ecommerce data, then join them into governed analytics tables for unified reporting and modeling.
Start by listing current pain points—report caps, seat limits, manual exports, rising costs, or lack of AI. Then connect a few high‑value sources in NinjaCat, publish the equivalent experiences as Data Apps, enable AI Agents for monitoring and summaries, and compare time‑to‑insight, stakeholder satisfaction, and cost.